OpenAI's guide to sustaining context beyond a single prompt
openai published a whitepaper detailing how to use codex for persistent, long-running workflows. this enables organizations to manage complex projects that require sustained context beyond simple prompt-response cycles.
openai published a guide focused on 'codex-maxxing' for long-running work, addressing the challenge of sustaining ai involvement across extended projects. authored by jason liu, the whitepaper explores using codex as a persistent workspace to preserve context and manage multi-step workflows. it instructs organizations on how to deconstruct ambitious goals into verifiable steps and maintain continuity across different workstreams. the guide emphasizes the strategic decision-making process regarding when to delegate execution to the model versus when to require human intervention. this resource targets enterprise users looking to integrate ai into complex operational pipelines rather than isolated tasks.